siva-interview-exercise

GOAL: Return the top N patients based on their scores which is proximity to the hospital and other factors defined below

1. Load the patients.json
2. Function to return a list of scored and sorted patients
3. Input: Hospital Latitude and Longitude "latitude": "64.4811", "longitude": "33.2338"
4. Scoring Rules
   • Latitude and Longitude of patient. Use this to calculate the distance from the hospital. Store this in the patient object
   • Distance to Clinic formula: distanceToClinic =

    sqrt(
             (
                 (patient_Longitude-hospital_Longitude)**2
             ) 
             +
             (
                 (patient_Latitude-hospitalLatitude)**2
             )
         )
   

   • normalizeScores = Generate a score for each patient to be normalized 1-10 based on the likelihood to come to the clinic
     • Score formula =
     • score = patient['age']*.1
     • score -= patient['distanceToClinic']*.1
     • score += patient['acceptedOffers']*.3
     • score -= patient['canceledOffers']*.3
     • score -= patient['replyTime']*.2
   • Find high score and low score
   • Normalized Score = (((patient_score - low_score)/(high_score-low_score)) * 9) +1
5. Return the top 10 normalized scores' patients
6. Write appropriate tests
7. Write a REST API which will take in a value of N and return the top N scores.